technical notes, nsf 21-308

National Center for Science and Engineering Statistics | NSF 21-308 1

Technical Notes

Data presented in Doctorate Recipients from U.S. Universities: 2019 were collected by the Survey of Earned Doctorates (SED). The survey is sponsored by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF) and by three other federal agencies: the National Institutes of Health (NIH), Department of Education (ED), and National Endowment for the Humanities (NEH). This report presents the summary of these survey data.

Survey Overview (2019 survey cycle)Purpose. SED collects data on the number and characteristics of individuals receiving research doctoral degrees from U.S. academic institutions.

Data collection authority. The information collected by the SED is solicited under the authority of the National Science Foundation Act of 1950, as amended, and the America COMPETES Reauthorization Act of 2010. The Office of Management and Budget control number is 3145-0019, expiration date 30 April 2022.

Survey contractor. RTI International.

Survey sponsors. The SED is sponsored by NCSES within NSF and by NIH, ED, and NEH.

Key Survey InformationFrequency. Annual.

Initial survey year. Academic year 1957–58.

Reference period. Academic year 2018–19 (1 July 2018 to 30 June 2019).

Response unit. Individuals.

Sample or census. Census.

Population size. 55,703.

Sample size. Not applicable.

Survey DesignTarget population. The population for the 2019 SED consists of all individuals receiving a research doctorate from a U.S. academic institution in the 12-month period beginning 1 July 2018 and ending 30 June 2019. A research doctorate is a doctoral degree that (1) requires completion of an original intellectual contribution in the form of a dissertation or an equivalent culminating project (e.g., musical composition) and (2) is not primarily intended as a degree for the practice of a profession. The SED recognized 18 distinct types of research doctorates in 2019 (table A-1). Recipients of professional doctoral degrees, such as MD, DDS, DVM, JD, DPharm, DMin, and PsyD, are not included in the SED.

The doctor of philosophy (PhD) constitutes the vast majority of research doctoral degrees. Of the 55,703 new research doctorates granted in 2019, 98.4% were PhDs (table A-2). The next most frequently occurring type of research doctorate was the doctor of education (EdD), which accounted for 0.8% of the total in 2019. No other type of doctoral degree accounted for more than 0.2% of the new research doctorates in 2019.


Sampling frame. The population eligible for the 2019 survey consisted of all individuals who received a research doctorate from a U.S. academic institution in the 12-month period ending 30 June 2019. Of the 454 institutions granting research doctorates, 5 institutions reported zero graduates, and 7 institutions refused to provide lists of graduates. For 6 of the 7 refusing institutions, the survey contractor was able to construct graduate lists using secondary data sources. Thus, the total universe consisted of 55,703 persons in 448 institutions that conferred research doctorates in 2019.

Sample design. The SED is a census.

Data Collection and Processing MethodsData collection. Three modes of data collection are used in the SED: self-administered Web survey, self-administered paper questionnaire, and computer-assisted telephone interviewing (CATI).

The self-administered Web survey is the primary mode of SED completion. When students apply for graduation, institutional coordinators at the universities give students the link to the survey registration website (institutional coordinators at a small number of universities hand out both a paper questionnaire and the link to the survey registration website). Students who sign up at the survey registration website receive PIN and password information via e-mail, as well as the URL of the SED Web survey. The proportion of SED completions using the Web has increased each year since it was introduced in 2001, and it reached 95.8% in 2019.

Paper questionnaires are mailed to institutional coordinators at the universities. For most institutions, paper questionnaires are used as reference copies. For a small number of institutions, the institutional coordinator distributes the paper questionnaires to students receiving research doctorates. The institutional coordinators then collect the completed questionnaires and return them to the survey contractor for editing and data entry.

Both the Web survey and paper questionnaire are used in follow-up contacts via e-mail and mail to nonrespondents. If the series of follow-up emails and mailings is unsuccessful, the survey contractor attempts to reach nonrespondents to complete an abbreviated survey by CATI. Approximately 2.5% of SED completions were from CATI in 2019. At the end of data collection phase, institutional coordinators are contacted to obtain information on a small number of critical SED data items for nonrespondents from their institution.

A small but growing number of research doctoral degrees are awarded as a part of joint doctoral programs (i.e., a research doctorate recipient studied at more than one institution in pursuit of the doctoral degree). In these instances, the survey contractor relies on information provided by the institutions to appropriately attribute the doctorate to one of the doctorate-granting institutions.

The survey collects a complete college education history. To code U.S. postsecondary degree-granting institutions, survey staff use the Integrated Postsecondary Education Data System (IPEDS) institution codes. To code the degree-granting institutions of respondents from foreign countries, survey staff maintain a database of foreign institutions, updating it annually to include new entries for foreign institutions reported by SED respondents. About one-third of 2019 U.S. research doctorate recipients received undergraduate degrees from foreign institutions.

Mode. As noted earlier, three modes of data collection are used in the SED: Web survey, paper questionnaire, and CATI. In 2019, 95.8% of survey responses were obtained via the Web survey, 2.5% via CATI, and 1.7% via the paper questionnaire.

Response rate. Of the 55,703 individuals who received a research doctorate in 2019, 92.1% completed the SED. Additional information on response rate can be found below, under “Nonresponse error.”

Data editing. Approved automated edits are applied to the SED, a number of which pertain to the education history section. In addition, completed paper questionnaires undergo review and editing prior to data entry.

Imputation. No imputation was used in producing the 2019 SED Doctorate Records File (DRF) except for the following variables:

Age at doctorate. Months (of birth and doctorate award) were included in the calculation of median age whenever available. If birth month was missing, the month value was randomly imputed.

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Weighting. Survey data were not weighted.

Variance estimation. The SED is a census of all research doctorates with no weights calculated, so no variance estimation techniques were used.

Disclosure protection. Two strategies are used in data table production to protect against the disclosure of confidential information provided by SED respondents. In the first, used since 2004, data cell values based on counts of respondents that fall below a predetermined threshold are deemed to be sensitive to potential disclosure and are suppressed. The symbol “D” replaces the cell value. If a suppressed cell does not provide sufficient disclosure protection in tables that include marginal totals, additional (complementary) suppressions of above-threshold data cells are necessary, and the suppression symbol “D” is used to replace those cell values as well.

The second disclosure protection strategy is field aggregation. Field aggregation was applied to data table 16 and table 22 in the current report, which present counts of doctorate recipients classified by fine fields of study and by either sex or race and ethnicity. Because some fine fields of study award relatively few doctorates in a single year, the degree counts by race, ethnicity, or sex within these fields can be quite small, leading to extensive cell suppression. The field aggregation technique combines data from small fields of study with the data from related fields, so that the degree counts in the aggregated fields are sufficiently large to protect the confidentiality of respondent information.

Data by race, ethnicity, and sex in the fine fields shown in table 16 and table 22 are reported for fields in which at least 25 U.S. citizen or permanent resident individuals earn a doctoral degree in a given year, regardless of how small the count may be in a particular cell. Counts of doctorate recipients in fields having fewer than 25 U.S. citizen or permanent resident doctorates awarded are aggregated with those of one or more related fields until the total number of doctorates in the aggregated field reaches at least 25 U.S. citizens and permanent residents. The related fields chosen for aggregation to protect below-threshold fields may or may not also be below- threshold. The degree count in each racial, ethnic, or sex category of these aggregated fields is reported in the tables, but the constituent fine fields of the aggregated fields are not displayed.

In 2019, fewer than 25 doctorates were awarded to U.S. citizens or permanent residents in 81 of the 334 fine fields of study collected in the SED. These below-threshold fine fields were combined with 66 related fields of study to produce 45 aggregated fields in 2019. Table 16 and table 22 report data on the 45 aggregated fields and the remaining 187 unaggregated fine fields. Table A-5 lists the aggregated fields and their constituent fine fields.

Data reported for “other” fine fields are not considered confidential. However, a total of 23 “other” fine fields, including 7 that fall under the threshold, are used as aggregation partner fields.

Survey Quality MeasuresSampling error. Not applicable because the SED is a census.

Time to degree from bachelor’s completion. Months (of bachelor’s completion and doctorate award) were included in the calculation of total time to degree. If months were missing, month values were logically imputed to the modal value for doctorate recipients who provided month of bachelor's completion and converted to the number of days corresponding to that month.

Time to degree from graduate school entry. Months (of graduate school entry and doctorate award) were included in the calculation of graduate school time to degree. If months were missing, month values were logically imputed to the modal value for doctorate recipients who provided month of graduate entry.

Time to degree from doctoral program entry. Doctoral program entry is based on master’s degree program entry if the master’s degree was at the doctoral institution in the same fine field of study or if it was a prerequisite to the doctorate; otherwise, it is based on doctoral program entry. Months are included in the calculation of doctoral program time to degree. If the month of entry used in the calculation (master’s degree program entry or doctoral program entry) was not reported, the entry month was logically imputed to the modal value for all cases that did report the entry month in the academic year the case was added to the doctoral records file (typically the academic year matching the graduation date of the case).

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Coverage error. Due to the availability of comprehensive lists of doctorate-granting institutions and the institutions’ high levels of participation in the survey, coverage error of institutions is minimal. Because the graduate schools collect the survey data from degree recipients at the time of doctorate completion, coverage error for the universe of doctorate recipients is also minimal. Comparisons of the institutions and the number of research doctorate recipients covered by the SED with the total number of doctorate recipients (including nonresearch doctorate degree recipients) reported by institutions to the National Center for Education Statistics confirm that there is minimal coverage error of doctorate recipients. Institutions that begin to confer research doctorates are invited to join the SED. If a university that confers research doctorates does not wish to participate in the SED, slight undercounts may result. In 2019, seven doctorate-granting universities declined to fully enumerate their doctorate recipients for AY 2019. Information on the graduates for six of these institutions were found from other sources, such as ProQuest, but no information could be found for one institution. This one institution was estimated to have had approximately one graduate, resulting in a small percentage (less than 0.1%) of under-coverage in the universe.

Nonresponse error.

Nonresponse was concentrated in certain institutions: 7 of the 448 doctorate-granting institutions accounted for 25% of the total nonrespondents, and 42 of these institutions accounted for 70% of the total nonrespondents.

Counts for previous years were corrected by the addition of data from surveys received after the close of data collection for a given year.

Measurement error. The most likely source of measurement error in the SED is attributable to incomplete or vague information for degree or dissertation field of study provided by respondents or degree-granting institutions, and for educational history provided by respondents. For field of degree, some respondents (or institutions) fail to provide a degree code and instead provide a text string that must be manually coded by the survey contractor. Similarly, some aspects of the educational history timeline—including the field of study for earned associate’s, bachelor’s or master’s degrees—require manual coding. When manual coding is required, a pair of trained reviewers independently code each text entry, and any discrepancies between the two coders are resolved by a third, more expert reviewer. All manual coding is subject to a final review by NCSES. Generally, the percentage of responses in these areas requiring manual coding is low. In 2019, 3.4% of PhD fields of study were manually coded, as well as 6.6% of associate’s degree fields of study, 1.7% of bachelor’s degree fields of study, and 2.9% of master’s degree fields of study.

Data ComparabilityChanges in survey coverage and population. For the 2019 cycle, fourteen institutions were added to the SED universe.

Changes in questionnaire. The following changes were made to the questionnaire in 2019:

New questions. None.

Questions dropped. None.

Unit nonresponse. Of the 55,703 individuals who received a research doctorate in 2019, 92.1% completed the survey (table A-3). This percentage is referred to as the self-report rate. Skeletal records for nonrespondents appear on the data file and contain a limited number of SED critical data items (doctoral institution, year of doctorate, field of doctorate, type of doctorate, and, if available, baccalaureate institution, master’s degree institution, and sex) that are constructed for nonrespondents from administrative records of the university, such as commencement programs, graduation lists, and other public records. These nonresponding cases are included in the reported total of 55,703 doctorate recipients for 2019.

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Item nonresponse. Among the 55,703 individuals who received a research doctorate in 2019, item nonresponse rates for the five key SED demographic variables—sex, citizenship, country of citizenship, race and ethnicity, and location after graduation—range from 0.1% for sex to 6.8% for location after graduation. Table A-4 shows item response rates for 2008–19 for all variables, by variable name (see clarifying notes the table).

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http://nces.ed.gov/


Question response options changed.

$90,001–$100,000

$100,001–$120,000

$120,001–$140,000

$140,001–$160,000

$160,001 or more

$110,001–$120,000

$120,001–$130,000

$130,001 or above

Changes in reporting procedures or classification.

Code Citizenship category

0 U.S. native born

1 U.S. naturalized citizen

2 Non-U.S. immigrant (permanent resident)

3 Non-U.S. non-immigrant (temporary U.S. visa)

4 Non-U.S., visa status unknown

U U.S. citizen, unspecified

Blank Missing or citizenship unknown

Respondents who indicated a U.S. birthplace, regardless of what they reported for citizenship status, were assigned code 0.

In 1999, code 4 (non-U.S., visa status unknown) was introduced and data were back-coded through 1997. Respondents who designated a non-U.S. country for the country of citizenship item but did not respond to the citizenship status item were assigned code 4 for citizenship status. From 1997 to 2003, non-U.S.-born respondents who did not indicate their country of citizenship or citizenship status were assigned to code 4 if three out of four geographic variables—place of birth, place of high school, place of college entry, and postgraduation location—were non-U.S. locations. Beginning with the 2004 SED, the variable “place of baccalaureate institution” replaced “place of college entry” in the assignment of a citizenship code for respondents who did not indicate citizenship status.

Graduate debt level. Five new debt level values were added:●

Range of expected basic annual salary. Three additional salary range values were added:●

Citizenship. The citizenship status variable is used to identify the appropriate citizenship category of respondents, including the citizenship category of respondents who did not respond to the citizenship status survey item on the SED. The code framework for the citizenship status variable is outlined below.

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For tabulations in this report, code 4 was combined with code 3—that is, counts of doctorate recipients in the temporary visa holder category include non-U.S. citizens with unknown visa status. This is consistent with coding procedures in previous data collections. However, the existence of code 4 allows the microdata user to exclude cases for which visa status is unknown. Prospective data users should note, however, that the number of cases in the code 4 group is not sufficient to warrant analysis as a separate citizenship category.

Non-U.S. citizens who did not report a country of citizenship but reported the same non-U.S. country for three out of four geographic variables—place of birth, place of high school, place of baccalaureate institution, and postgraduation location—were assigned that reported country as their country of citizenship.

Debt. Since 2001, respondents have been asked to indicate the amount of education-related debt they owe, with separate response categories for graduate and undergraduate education. To estimate overall debt, the midpoint of the chosen range for undergraduate and for graduate debt was selected and summed to yield a total debt amount. Where mean debt levels are presented in this report (i.e., table 38 and table 40), the individual values for debt are assigned as the midpoint of the chosen range for graduate and undergraduate debt. Doctorate recipients who chose the lowest debt category (no debt) were assigned a value of $0 for the computation of mean debt levels. Doctorate recipients who chose the uppermost category available prior to 2019 ($90,001 or more) were assigned a value of $95,000 for the computation of mean debt levels. In 2019, additional response options were added at the upper range for graduate debt with the highest being $160,001 or more. Doctorate recipients who choose this uppermost category are assigned a value of $165,000 for the computation of mean debt levels. All valid responses, including “no debt,” are included in the computation of all average debt figures in this report.

Field of study. Beginning in 2015, the broad field of study of “physical sciences” was broken out into two separate broad fields: “physical sciences and earth sciences” and “mathematics and computer sciences.” Also beginning in 2015, the major fields of “mathematics and statistics” and “computer and information sciences” are listed under the new broad field of “mathematics and computer science.” Prior to 2015, these major fields were listed under physical sciences.

Functional limitations (previously, disability). Beginning in 2012, the functional limitations items assess both the presence and severity of functional limitations in each of several domains, which do not precisely overlap with the domains in prior surveys.

Median computation. Since 1994, medians have been computed as outlined below. When months are included, they are converted to the number of days corresponding to the first day of the month. In 2017, the method for accounting for leap days changed to reflect the actual number leap days during the time period specified, rather than the prior method of adding 0.25 days to each year.

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Median age. Months (of birth and doctorate award) are included in the calculation of median age whenever available. Beginning in 2015, if birth month is missing, the month value is randomly imputed. Prior to 2015, the missing month value was assigned to the month the doctorate was received.

Time to degree from bachelor’s completion. Months are included in the calculation of total time to degree. If months are missing, month values are assigned to the modal value for doctorate recipients who provide month of bachelor's completion and converted to the number of days corresponding to that month.

Time to degree from graduate school entry. Months are included in the calculation of graduate school time to degree. If months are missing in the calculation of graduate school time to degree, month values are assigned to the modal value for doctorate recipients who provided month of graduate entry. Reports published before 2004 reported a different time-to-degree measure: registered time to degree. Comparisons of graduate school time-to-degree data with pre-2004 registered time-to-degree data should be interpreted cautiously. For an explanation of registered time to degree, see the technical notes of any Doctorate Recipients from United States Universities: Summary Report published before 2004.

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In data tables, doctorate recipients who report Hispanic or Latino ethnicity, regardless of race, are counted as Hispanic or Latino, and as of 2013, those who did not answer the Hispanic or Latino question are counted as “ethnicity not reported.” Respondents who indicate that they are not Hispanic or Latino and indicate a single race are reported in their respective racial groups, except for those indicating Native Hawaiian or Other Pacific Islander, who are included in “other race or race not reported.” Beginning in 2007, doctorate recipients who indicate they are not Hispanic or Latino and indicate more than one race are reported in the group “two or more races.”

After a multiyear review of doctoral programs offering the EdD degree, most were determined to have a professional orientation and were dropped from the SED in 2010 and 2011, and graduates earning EdD degrees from those programs are no longer included in the SED. As a result, the proportion of EdD degrees among the total number of research doctorate recipients fell from 5.5% in 2009 to 0.8% in 2019. Table A-1 lists the doctoral degrees that were eligible for inclusion in the SED in 2019.

Definitions

Race and Hispanic ethnicity. Since 2001, respondents have been asked to first indicate whether they are Hispanic or Latino and then to check one or more racial group categories (i.e., American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, Black or African American, or White).

Time to degree from doctoral program entry. This variable was first included in 2015. Doctoral program entry is based on master’s degree program entry if the master’s degree was at the doctoral institution in the same fine field of study or if it was a prerequisite to the doctorate; otherwise, it is based on doctoral program entry. Months are included in the calculation of doctoral program time to degree. If the month of entry used in the calculation (master’s degree program entry or doctoral program entry) was not reported, the entry month is assigned to the modal value for all cases that did report the entry month in the academic year the case was added to the doctoral records file (typically the academic year matching the graduation date of the case).

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Research doctoral degree. As doctoral degree programs change to meet the needs of students, the orientation of the degrees they award may change from research to professional, and vice versa. Survey staff review degree programs to ensure that the designation of research doctorate remains appropriate. As a result of degree reviews in past data collections, survey staff identified several research doctoral degrees that shifted to a professional orientation. The doctor of music (DM) and the doctor of industrial technology (DIT) were both dropped from the SED in 2008, and the graduates (approximately 40 to 60 per year) who earn these doctoral degrees are no longer included in the SED.

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Salary. Median salary is calculated from exact salary values when provided by the respondent. Salary imputation was dropped as of 2015 due to the increase in exact salary response rate. From 2011–14, if a respondent selected a salary range instead of providing an exact salary value, exact salary values were imputed for median salary calculation purposes by applying hot-deck imputation based on salary range and other relevant respondent characteristics. Prior to 2011, median salary was calculated directly from the salary range values via interpolation methods, and exact salary values were not used in the calculation of median salary. Only salary data from doctorate recipients reporting definite commitments for employment or for a postdoc position in the United States are included in median salary calculations.

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Basic annual salary. Annual salary expected to be earned from the doctorate recipient's principal job in the next year after receiving the doctorate, not including bonuses or additional compensation for summertime teaching or research.

Carnegie classification (institution categories). In this report, four types of doctorate-granting institutions identified in the figures and tabulations are defined according to the Carnegie classification scheme as updated in 2015: doctoral highest research, doctoral higher research, doctoral moderate research, and other universities (comprised of all other classifications). Institutions are classified according to their aggregate and per-capita levels of research activity, using indicators of research and development expenditures, staffing (including postdoctoral appointees and other nonfaculty research staff with doctorates), and doctoral conferrals in science and engineering and other fields.

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Doctorate recipients indicate their fields of specialty. Their choices may differ from departmental names. Field groupings may differ from those in other reports published by federal sponsors of the SED. The “general” field categories (e.g., “chemistry, general”) include individuals who either received the doctorate in the general subject area or who did not indicate a particular specialty field. The “other” field categories (e.g., “chemistry, other”) include individuals whose specified doctoral discipline was not among the specialty fields listed.

Definite plans to stay in the United States. A respondent is coded as having definite plans to stay in the United States if the reported postgraduation location was in the United States and the reported postgraduation plans for employment or postdoc were coded “definite.”

Definite postgraduation plans. The status of postgraduation plans is coded using the values from item B2 of the survey questionnaire, which indicate whether the doctorate recipient’s postgraduation plans for employment or a postdoc position were definite at the time the survey was completed.

Field of study. The SED has 334 fine fields of doctoral study, which are grouped into 35 major fields of study. The major field groupings are further aggregated into eight broad fields: life sciences, psychology and social sciences, physical sciences and earth sciences, mathematics and computer sciences, engineering, education, humanities and arts, and other fields. The levels of this variable were derived by grouping related fine fields of study from the field of study taxonomy used in the SED (table A-6). See the survey questionnaire for a full listing of the fine fields of study in 2019.

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Median age at doctorate. One-half of the respondents received the doctorate at or before this age. A recipient's age is obtained by subtracting the month and year of birth from the month and year of doctorate.

Percentage with master’s. This variable is the percentage of doctorate recipients in a field who received a master's degree in any field before earning the doctorate.

Research doctorate. A research doctoral degree is oriented toward preparing students to make original intellectual contributions in a field of study and is not primarily intended for the practice of a profession. Research doctorates require the completion of a dissertation or equivalent project.

Time to doctorate. The time it takes to complete a doctoral degree is measured in three ways: (1) the time elapsed from completion of the baccalaureate to completion of the doctorate (total time to degree), (2) the time elapsed from the start of any graduate school program to completion of the doctorate (graduate school time to degree), and (3) the time elapsed from the start of the doctoral program. Time-to-doctorate measures herein are reported as medians. In 2017, the method for accounting for leap days changed to reflect the actual number leap days during the time period specified, rather than the prior method of adding 0.25 days to each year.

U.S. regions of employment. This variable is used to classify the location of U.S. employment after award of the doctorate.

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Total time to degree. This variable is the total elapsed time between the baccalaureate and the doctorate, including time not enrolled in school. It can be computed only for individuals whose baccalaureate year is known. Baccalaureate year is often obtained from commencement programs or doctorate institutions when not reported by the recipient.

Graduate school time to degree. This variable is the elapsed time from the initiation of graduate study, in any program or capacity at any university, and the award of the doctorate. This variable can be computed only for individuals who provided the year they started graduate school. If an individual did not respond to this question, which asks for the month and year of first entry into any graduate school, then values for graduate school month and year of entry are imputed from the month and year of entry into the most recent master’s degree program or, if that is missing, the month and year of entry into the doctoral degree program. Months are included in the computation.

Doctoral program time to degree. This variable is either (1) the elapsed time from the master’s degree program entry, if the master’s degree was awarded at the doctoral institution and was in the same fine field as the doctorate or if the master’s degree was a prerequisite to the doctoral program until doctorate completion; otherwise, it is (2) the elapsed time from the doctoral program entry until doctorate completion. This variable is only computed for academic year 2015 and later doctorates.

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New England Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont

Middle Atlantic New Jersey, New York, Pennsylvania

East North Central Illinois, Indiana, Michigan, Ohio, Wisconsin

West North Central Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota

South Atlantic Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, West Virginia

East South Central Alabama, Kentucky, Mississippi, Tennessee

West South Central Arkansas, Louisiana, Oklahoma, Texas

Mountain Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, Wyoming

Pacific and Insular Alaska, California, Hawaii, Oregon, Washington, American Samoa, Guam, Puerto Rico, Trust Territories, Virgin Islands


Technical Tables Table Title

A-1 Types of research doctoral degrees recognized by the Survey of Earned Doctorates: 2019

A-2 Research degrees included in the Survey of Earned Doctorates: 2015–19

A-3 Survey response rates: 1980–2019

A-4 Item response rates: 2010–19

A-5 SED taxonomy of disciplines including aggregated fields and their constituent fine fields: 2019

A-6 Aggregations used to determine major fields of study: 2019


Table A-1

Types of research doctoral degrees recognized by the Survey of Earned Doctorates: 2019

(Type)

Abbreviation Degree titlePhD Doctor of PhilosophyDA Doctor of ArtsDBA Doctor of Business AdministrationDDes Doctor of DesignDEng, DESc, DES Doctor of Engineering or Engineering ScienceDFA Doctor of Fine ArtsDHL Doctor of Hebrew LettersDMA Doctor of Musical ArtsDME Doctor of Music EducationDML Doctor of Modern LanguagesDNSc Doctor of Nursing ScienceDPH Doctor of Public HealthDSc, ScD Doctor of ScienceEdD Doctor of EducationJCD Doctor of Canon LawJSD, SJD Doctor of Juridical ScienceSTD Doctor of Sacred TheologyThD Doctor of Theology

Source(s):National Center for Science and Engineering Statistics, Survey of Earned Doctorates.


Table A-2

Research degrees included in the Survey of Earned Doctorates: 2015–19

(Number and percent)

Research degree Degree title

2015 2016 2017 2018 2019Number Percent Number Percent Number Percent Number Percent Number Percent

All research doctorates 54,886 100.0 54,809 100.0 54,554 100.0 55,103 100.0 55,703 100.0

PhD Doctor of Philosophy 53,802 98.0 53,778 98.1 53,474 98.0 54,154 98.3 54,800 98.4EdD Doctor of Education 615 1.1 616 1.1 589 1.1 571 1.0 473 0.8DSc, ScD Doctor of Science 105 0.2 103 0.2 108 0.2 92 0.2 92 0.2DEng, DESc, DES

Doctor of Engineering or Engineering Science 36 0.1 33 0.1 28 0.1 21 * 43 0.1

DA Doctor of Arts 4 * 7 * 4 * 5 * 1 *

DBA Doctor of Business Administration 35 0.1 32 0.1 32 0.1 24 * 17 *

DMA Doctor of Musical Arts 178 0.3 141 0.3 139 0.3 116 0.2 116 0.2DDes Doctor of Design 1 * 5 * 7 * 9 * 8 *DPH Doctor of Public Health 27 * 20 * 53 0.1 41 0.1 37 0.1DHL Doctor of Hebrew Letters 0 0.0 1 * 0 0.0 0 0.0 1 *

DME Doctor of Music Education 2 * 0 0.0 3 * 0 0.0 1 *

DML Doctor of Modern Languages 3 * 5 * 6 * 4 * 6 *

DNSc Doctor of Nursing Science 2 * 2 * 10 * 0 0.0 2 *

ThD Doctor of Theology 16 * 14 * 23 * 11 * 11 *DFA Doctor of Fine Arts 0 0.0 2 * 4 * 3 * 2 *

JSD, SJD Doctor of Juridical Science 54 0.1 45 0.1 67 0.1 50 0.1 91 0.2

STD Doctor of Sacred Theology 5 * 2 * 1 * 0 0.0 1 *

JCD Doctor of Canon Law 1 * 2 * 6 * 2 * 1 *All other research doctoratesa

0 0.0 1 * 0 0.0 0 0.0 0 0.0

* = value < 0.05%.

a Includes doctorates awarded that were determined to be ineligible for Survey of Earned Doctorates after the doctoral program was begun but before doctorate was granted.

Note(s):Due to rounding, percentages may not sum to 100.



Table A-3

Survey response rates: 1980–2019

(Percent)

Year Self-report rate1980 96.21981 95.71982 95.31983 95.51984 95.11985 94.81986 93.51987 93.11988 92.91989 92.31990 93.61991 94.61992 95.11993 94.71994 94.61995 94.21996 93.01997 91.61998 91.91999 91.92000 92.42001 92.72002 91.32003 91.62004 91.32005 92.12006 93.12007 91.72008 92.32009 92.62010 93.02011 92.92012 92.52013 92.02014 90.62015 90.32016 92.02017 91.42018 92.12019 92.1

Note(s):Rates for 1980–2018 include late responses. Rate for 2019 may increase slightly in the next year if additional questionnaires are received after survey closure.



Table A-4

Item response rates: 2010–19

(Percent)

Variable name Variable description 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019AAEMONTH First associate’s degree start month na na na na na na na 96.9 96.2 95.3AAEYEAR First associate’s degree start year na na na na na na na 97.6 96.3 95.8AAFIELD First associate’s degree field na na na na na na na 85.0 94.5 95.1AAINST First associate’s degree institution na na na na na na na 93.4 92.0 97.6AAMONTH First associate’s degree month na na na na na na na 97.6 96.8 95.9

AANID First associate’s degree institution (NCSES institution identification) na na na na na na na 93.2 92.0 97.6

AAYEAR First associate’s degree year na na na na na na na 98.3 97.0 96.7AADEGRN Number of associate’s degrees received na na na na na na na 90.3 93.4 93.5AGEDOC Age at doctorate na na na na na 92.1 94.1 94.6 95.0 94.8AMERIND American Indian or Alaska Native race indicator 91.6 91.6 91.5 91.9 90.2 91.0 93.0 92.8 93.2 93.2ASIAN Asian race indicator 91.6 91.6 91.5 91.9 90.2 91.0 93.0 92.8 93.2 93.2AUDIDIS Deaf or hearing disability indicator 89.7 89.8 na na na na na na na naBA2EMONTH Most recent baccalaureate start month na na na na na na na 89.9 92.3 94.3BA2EYEAR Most recent baccalaureate start year na na na na na na na 90.2 92.3 94.5BA2FIELD Most recent baccalaureate degree field na na na na na na na 89.7 91.6 94.3BA2INST Most recent baccalaureate institution na na na na na na na 88.4 90.5 94.4BA2MONTH Most recent baccalaureate month na na na na na na na 90.0 92.4 94.3

BA2NID Most recent baccalaureate institution (NCSES institution identification) na na na na na na na 88.4 90.5 94.4

BA2YEAR Most recent baccalaureate year na na na na na na na 90.4 92.6 94.6BADEGRN Number of bachelor’s degrees received na na na na na na na 91.1 98.3 98.9BADBLFIELD First baccalaureate double major field na na na na na na na 96.4 98.4 98.7BADBLMAJ First baccalaureate double major indicator na na na na na na na 89.5 90.9 91.1BAEMONTH First baccalaureate start month na na na na 87.0 87.0 89.0 89.6 90.6 90.6

BAEYEARa First baccalaureate start year 86.9 87.6 88.2 88.8 87.3 87.3 89.4 89.7 90.6 90.7BAFIELD First baccalaureate field 88.5 89.0 88.5 89.5 87.9 87.9 89.7 90.4 90.6 90.8BAINST First baccalaureate institution 91.6 92.5 91.5 92.2 90.2 91.0 92.9 93.6 94.4 95.5BAMONTH First baccalaureate month 87.6 88.3 88.9 89.2 87.7 87.6 89.4 89.7 90.7 90.8

BANID First baccalaureate institution (NCSES institution identification) 91.6 92.5 91.5 92.2 90.2 91.0 92.9 93.6 94.4 95.5

BANONEb No bachelor’s and/or master's degree indicator 14.6 16.4 18.2 20.4 21.4 21.7 22.4 22.0 91.6 91.7BAPLACE First baccalaureate institution location 91.6 92.5 91.5 92.2 90.2 91.0 92.9 93.6 94.4 95.5BAYEAR First baccalaureate year 91.7 92.3 92.0 92.3 90.3 90.8 93.1 94.4 94.9 95.4BIRTHMO Month of birth 92.3 92.2 92.1 92.5 90.7 91.6 93.2 93.9 94.6 94.3BIRTHPL Place of birth 93.4 94.3 94.2 93.5 91.9 92.1 94.5 95.0 95.9 96.5BIRTHYR Year of birth 93.0 93.0 92.8 93.1 91.3 92.1 94.1 94.5 95.0 94.8BLACK Black race indicator 91.6 91.6 91.5 91.9 90.2 91.0 93.0 92.8 93.2 93.2CITIZ Type of citizenship 94.2 94.0 93.8 94.2 92.3 93.3 95.2 95.4 96.0 96.3

CNTRYCITc Country of citizenship 93.8 93.7 93.6 93.8 92.1 93.1 94.8 95.0 95.0 95.0COGNDIS Learning or cognitive disability indicator 89.7 89.8 na na na na na na na naDDSDEG Earned a professional dental degree 87.7 88.6 88.9 88.8 87.6 87.9 88.3 88.6 89.6 89.4DDSSTUDY Earning a professional dental degree 87.7 88.6 88.9 88.8 87.6 87.9 88.3 88.6 89.6 89.4DEPEND18 Number of dependents-ages 6–18 88.3 89.2 89.9 89.5 88.4 88.3 89.7 90.1 90.7 90.6DEPEND19 Number of dependents-ages 19 and older 88.3 89.2 89.9 89.5 88.4 88.3 89.7 90.1 90.7 90.6DEPEND5 Number of dependents-ages 5 or younger 88.3 89.2 89.9 89.5 88.4 88.3 89.7 90.1 90.7 90.6DIFAGE Earliest age experienced difficulties na na 90.4 90.8 89.4 89.4 90.9 89.9 90.3 90.4

DIFCOGN Degree of difficulty concentrating, remembering, or making decisions na na 91.1 91.0 89.6 89.6 91.1 90.1 90.5 90.6

DIFHEAR Degree of difficulty hearing na na 91.1 91.0 89.6 89.6 91.1 90.1 90.5 90.6


Table A-4


(Percent)

Variable name Variable description 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019DIFLIFT Degree of difficulty lifting na na 90.5 91.0 89.6 89.6 91.1 90.1 90.5 90.6DIFSEE Degree of difficulty seeing na na 91.1 91.0 89.6 89.6 91.1 90.1 90.5 90.6DIFWALK Degree of difficulty walking na na 90.5 91.0 89.6 89.6 91.1 90.1 90.5 90.6DISABILITY1 Disability status 89.7 89.8 na na na na na na na na

DISABILITY2 Moderate or greater degree of difficulty in any domain na na 91.1 91.0 89.6 89.6 91.1 90.1 90.5 90.6

DOCCODE Type of doctorate (since 2004) 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0EDFATHER Father/male guardian's education 90.8 90.8 90.7 90.0 88.6 88.4 89.9 89.9 89.3 88.6EDMOTHER Mother/female guardian's education 90.9 90.9 90.8 90.1 88.6 88.5 89.9 90.0 89.7 89.2GDEBTLVL Graduate debt level 92.7 93.3 92.9 89.7 88.2 90.1 93.1 92.3 92.6 93.3GEMONTH Month of graduate program entry 87.4 88.0 88.4 88.5 90.1 89.7 90.7 90.3 91.9 92.0GEYEAR Year of graduate program entry 87.8 88.3 88.6 88.7 90.3 89.9 90.9 90.3 91.9 92.0

HAWAIIAN Native Hawaiian or Other Pacific Islander race indicator 91.6 91.6 91.5 91.9 90.2 91.0 93.0 92.8 93.2 93.2

HISPANIC Hispanic origin indicator 91.4 92.2 92.0 92.1 90.3 91.5 93.0 93.7 94.7 94.6HSPLACE Place of high school 90.8 91.8 91.7 91.2 89.7 89.5 91.6 90.1 90.4 90.6JRCOLL Junior college indicator 91.2 93.1 93.0 92.6 91.1 90.8 93.4 93.2 93.7 94.0

MA1CRED Credits from first master’s degree counted toward doctoral degree na na na na na na na 97.6 99.5 99.4

MA1EMONTH First master’s degree start month na na na na na na na 99.6 98.9 98.5MA1EYEAR First master’s degree start year na na na na na na na 99.7 99.0 98.7MA1FIELD First master’s degree field na na na na na na na 99.4 98.8 98.7MA1INST First master’s degree institution na na na na na na na 97.9 97.8 98.7MA1MONTH First master’s degree month na na na na na na na 99.8 98.9 98.7

MA1NID First master’s degree institution (NCSES institution identification) na na na na na na na 97.9 97.8 98.7

MA1PART First master’s degree was required for doctoral program na na na na na na na 98.4 99.4 99.1

MA1YEAR First master’s degree year na na na na na na na 99.9 99.0 98.9

MACRED Credits from most recent master’s degree counted toward doctoral degree na na na na na na na 99.2 99.8 99.9

MADEGRN Number of master's degrees received na na na na na na na 99.3 93.7 93.9MAEMONTH Most recent master's degree start month na na na na 6780 6750 6870 6900 6910 8870

MAEYEARb Most recent master's degree start year na na na na 68.0 67.7 68.9 69.1 69.1 88.8MAFIELD Most recent master's degree field 71.1 70.8 70.5 70.1 68.6 68.3 69.3 69.1 88.6 88.8MAINST Most recent master's degree institution 71.6 71.5 70.8 70.0 68.5 68.0 69.2 69.3 68.8 88.9MAMONTH Most recent master's degree month 70.3 70.1 70.2 69.9 68.3 68.0 69.1 69.1 69.1 88.9

MANIDb Most recent master's degree institution (NCSES institution identification) 71.6 71.5 70.8 70.0 68.5 68.0 69.2 69.3 68.8 88.9

MAPART Most recent master’s degree was required for doctoral program na na na na na na na 69.1 88.4 88.7

MARITAL Marital status 91.0 91.0 91.0 90.4 89.0 88.9 90.5 90.3 90.8 90.8MAYEAR Most recent master's degree year 71.6 71.2 70.9 70.3 68.7 68.2 69.4 69.8 88.7 89.0MDDEG Earned a professional medical degree 87.7 88.6 88.9 88.8 87.6 87.9 88.3 88.6 89.6 89.4MDSTUDY Earning a professional medical degree 87.7 88.6 88.9 88.8 87.6 87.9 88.3 88.6 89.6 89.4MEDDENT Additional professional medical or dental degree 89.9 90.3 90.5 90.4 89.1 89.2 90.5 90.6 91.4 91.4MSPREREQ Prerequisite master's degree for doctoral program 91.5 91.5 91.1 90.7 89.2 89.1 90.8 91.0 88.8 89.0ORTHDIS Physical or orthopedic disability indicator 89.7 89.8 na na na na na na na naOTHRDIS Other or unknown disability indicator 89.7 89.8 na na na na na na na naPDEMPLOY Postgraduation employer type 97.8 98.6 98.5 99.0 99.5 99.3 98.1 99.7 98.8 98.8PDFACULTY Employment in faculty position na na na na na na na na 61.0 63.7


Table A-4


(Percent)

Variable name Variable description 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

PDFORGNb Postgraduation affiliation with a non-U.S. college or university 3.8 3.7 3.5 3.7 3.4 3.1 3.2 3.8 90.5 90.6

PDLOC Postgraduation location 93.0 92.9 92.5 91.6 90.0 90.0 92.2 92.4 93.0 93.2

PDOCCODEb Postgraduation institution affiliation in the U.S. (IPEDS) 31.9 31.1 30.6 28.4 26.7 26.1 26.4 21.9 87.1 89.2

PDOCNIDb Postgraduation institution affiliation in the U.S. (NCSES institution identification) 31.9 31.1 30.6 28.4 26.7 26.1 26.4 21.9 87.1 89.2

PDOCPLAN Postgraduation plans 97.6 95.0 93.9 92.5 91.7 91.5 95.2 97.6 99.8 99.9PDOCSTAT Postgraduation status 91.3 91.4 91.4 90.8 89.3 89.3 90.9 90.8 91.3 91.4

PDSAMEEMPb Postgraduation employer was employer before or during doctoral studies na na na na na na na 6.9 51.3 55.3

PDSAMEPOSEMP Employment in same position with same employer worked during doctoral studies na na na na na na na na 95.4 99.8

PDSEEKNEWEMP Postgraduation plan to seek new employment na na na na na na na na 99.5 99.1PDSTDSUP Postdoctoral study support 93.9 94.6 95.8 96.7 97.5 97.8 95.5 96.9 97.0 96.5PDUSFOR Postgraduation location: U.S. or foreign 93.0 92.9 92.5 91.6 90.0 90.0 92.2 92.4 93.0 93.2PDWK1ED Edited primary work activity 92.8 91.8 91.5 90.7 90.8 90.5 91.3 97.7 98.6 98.8PDWK2ED Edited secondary work activity 50.6 50.1 50.8 50.2 49.8 49.4 50.6 48.9 47.4 46.7PDWKPRIM Primary work activity 92.8 91.8 91.5 90.7 90.8 90.5 91.3 97.7 98.6 98.8PDWKSEC Secondary work activity 50.6 50.1 50.8 50.2 49.8 49.4 50.6 48.9 47.4 46.7PHDCY Calendar year of doctorate 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0PHDDISS Dissertation field 92.5 92.4 91.8 91.6 90.2 90.0 91.6 91.1 91.5 91.4

PHDDISS2b Secondary dissertation field 30.2 32.1 34.7 36.2 35.0 35.0 41.0 34.9 89.8 90.1PHDEMONTH Doctoral program start month na na na na 89.6 89.6 91.2 91.3 91.6 91.7

PHDEYEARd Doctoral program start year 90.4 90.7 90.8 90.9 89.9 89.7 91.4 91.3 91.6 91.7PHDFIELD Doctorate field 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0PHDFY Fiscal year of doctorate 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0PHDINST Doctoral institution 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0PHDMONTH Month of doctorate 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

PHDNID Doctoral institution (NCSES institution identification) 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

POSTDOC Intention to take postdoc position 91.5 91.5 91.6 91.1 89.6 89.6 91.5 na na na

PROFDEGb Type of professional doctorate 0.9 1.0 0.8 0.8 0.9 1.0 1.0 96.0 100.0 100.0PROFEARN Earned or earning a professional doctoral degree na na na na na na na 90.7 91.4 91.4PROFEMONTH Professional doctorate start month na na na na na na na 99.7 99.3 99.4PROFEYEAR Professional doctorate start year na na na na na na na 99.8 99.1 99.4PROFINST Professional doctorate institution na na na na na na na 98.0 98.2 98.5PROFMONTH Professional doctorate month na na na na na na na 99.8 99.2 99.4

PROFNID Professional doctorate institution (NCSES institution identification) na na na na na na na 95.4 98.2 98.5

PROFYEARb Professional doctorate year 0.9 0.9 0.7 0.8 0.9 0.9 1.0 99.7 99.2 99.4QUESTMON Month questionnaire filled out na na na na na 90.0 92.0 93.2 92.1 92.1QUESTYR Year questionnaire filled out 92.2 92.8 92.4 92.0 90.6 90.3 92.0 93.4 92.1 92.1RACE Edited race or ethnicity code 93.4 93.2 93.0 93.2 91.4 92.4 94.3 94.6 95.5 95.7RACE2 Edited ethnicity or race code (NSF-revised) 93.4 93.2 93.0 93.2 91.4 92.4 94.3 94.9 95.5 95.7

SALARYRe Range of expected basic annual salary 91.0 89.7 89.0 87.6 88.7 88.7 89.3 97.3 96.3 96.3SALARYV Expected basic annual salary 51.5 46.6 41.2 36.8 76.9 83.9 85.5 94.2 93.2 93.1

SALMONTH Number of months expected basic annual salary covers 90.9 90.1 89.5 88.7 89.0 88.9 89.1 95.2 96.5 96.4

SEEKEMPBUS Seeking or negotiating position in business or industry na na na na na na na na 98.8 98.9


Table A-4


(Percent)

Variable name Variable description 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019SEEKEMPCHOICE Top choice of employer seeking or negotiating na na na na na na na na 97.7 97.7

SEEKEMPEDU Seeking or negotiating position at an educational institution na na na na na na na na 98.8 98.9

SEEKEMPGOV Seeking or negotiating position in government na na na na na na na na 98.8 98.9

SEEKEMPNPO Seeking or negotiating position in nonprofit organization na na na na na na na na 98.8 98.9

SEEKEMPOTHR Seeking or negotiating position in other sector na na na na na na na na 98.8 98.9

SEEKEMPSTAT Employment status while seeking or negotiating employment na na na na na na na na 98.9 98.9

SEEKPOSEMP Seeking or negotiating an employment position other than a postdoc na na na na na na na na 99.0 99.0

SEEKPOSOTHR Seeking or negotiating other position na na na na na na na na 99.0 99.0SEEKPOSPDOC Seeking or negotiating a postdoc position na na na na na na na na 99.0 99.0SEX Sex of doctorate recipient 100.0 100.0 99.9 100.0 99.7 100.0 100.0 100.0 99.9 100.0SRCE1ED Edited primary source of support 90.9 91.0 91.1 90.7 89.7 89.5 91.2 90.0 90.6 90.6SRCEPRIM Primary source of support 90.9 91.0 91.1 90.7 89.7 89.5 91.2 90.0 90.6 90.6SRCESEC Secondary source of support 80.8 80.8 80.3 79.6 79.2 78.8 83.0 78.4 80.1 80.3TICEPHD Time in from college entry to doctorate 86.9 87.6 88.2 88.8 87.3 87.3 89.4 89.7 90.6 90.7

TOBAGE Time out between baccalaureate to graduate school entry 85.8 86.4 86.9 87.2 87.2 87.2 88.5 87.4 88.4 88.5

TTDBAPHD Total time elapsed from baccalaureate to doctorate 91.7 92.3 92.0 92.3 90.3 90.8 93.1 94.4 94.8 95.4TTDDOC Total elapsed time in doctorate na na na na 89.9 89.8 91.5 91.3 91.5 91.6TTDGEPHD Total time elapsed from graduate entry to doctorate 87.9 88.3 88.6 88.7 90.3 89.9 90.9 90.3 91.9 92.0TUITREMS Tuition remission-full or partial 90.4 91.3 91.5 91.2 90.0 89.8 91.4 91.0 91.6 91.6UDEBTLVL Undergraduate debt level 92.7 93.4 93.3 86.1 84.7 90.9 93.7 92.6 93.0 93.3VISUDIS Blind or visual disability indicator 89.7 89.8 na na na na na na na naVOCLDIS Vocal or speech disability indicator 89.7 89.8 na na na na na na na naWHITE White race indicator 91.6 91.6 91.5 91.9 90.2 91.0 93.0 92.8 93.2 93.2YRSCOURS Years of doctoral coursework 90.9 91.0 90.9 90.4 89.0 89.0 90.5 89.8 na naYRSDISST Years preparing doctorate dissertation 91.0 91.1 91.0 90.5 89.0 89.0 90.5 89.7 na naYRSNOTWRK Years not working on doctoral degree 91.0 91.2 91.0 90.8 89.2 89.2 90.8 90.9 na na

na = not applicable; data either were not collected or derived, or were collected for the first time in that year (see "Notes").

IPEDS = Integrated Postsecondary Education Data System; NCSES = National Center for Science and Engineering Statistics.

a Methodology reports prior to 2014 reported BAEYEAR as CEYEAR. b Logical skip edits to correct the universe of eligible respondents led to higher item response rates in the year it was implemented. c Response rate counts respondents who reported being U.S. citizens or permanent residents or temporary visa holders and provided country of citizenship. d Methodology reports prior to 2014 reported PHDEYEAR as PHDENTRY. e Methodology reports prior to 2011 reported SALARYR as SALARY.

Note(s):Item response rate is the percentage of cases providing data on an item divided by the universe of doctorate recipients eligible to answer that item. For most data items, all doctorate recipient respondents are in the universe of eligible respondents. For some data items introduced in the survey for the first time, not all eligible respondents were able to provide data because they completed earlier versions of the survey, leading to lower response rates.



Table A-5

SED taxonomy of disciplines including aggregated fields and their constituent fine fields: 2019

(Field)

Aggregated field name and constituent fieldsLife sciences

Agricultural sciences and natural resourcesAgricultural sciences

Agricultural animal breedingAgricultural economics

Agronomy, horticulture science, plant breeding, plant pathology, plant sciences-other†

Agricultural and horticultural plant breedingAgronomy and crop scienceHorticulture sciencePlant pathology and phytopathology, agriculturalPlant sciences, other

Animal nutrition, poultry science†

Animal nutrition

Animal science, poultry or avian*

Animal sciences, other

Food science, food technology-other†

Food science

Food science and technology, other*

Soil chemistry and microbiology, soil sciences-other†

Soil chemistry, microbiology*

Soil sciences, otherNatural resources and conservation

Environmental scienceFishing and fisheries sciences and management

Forest biology, forest management, forestry sciences-other†

Forest management, forest resources management*

Forest sciences and biology*

Forestry, other

Natural resources policy and environmental economics†

Natural resource and environmental policy

Natural resources and environmental economics (agricultural sciences)*

Natural resources and conservation, wildlife and range management†

Natural resources and conservation

Wildlife, range management*

Agricultural sciences, aggregated†

Agricultural sciences and natural resources, general*

Agricultural sciences and natural resources, otherBiological and biomedical sciences

Anatomy, developmental biology†

Anatomy*

Developmental biology and embryology

Bacteriology, parasitology, and virology†

Bacteriology*

Parasitology*

VirologyBiochemistry (biological sciences)Bioinformatics


Table A-5


(Field)

Aggregated field name and constituent fieldsBiomedical sciencesBiometrics and biostatisticsBiophysics (biological sciences)

Botany, plant pathology, plant physiology†

Botany and plant biology

Plant pathology and phytopathology (biological sciences)*

Plant physiology*

Cancer biologyCell, cellular biology, and histologyComputational biologyEcologyEndocrinology, human / animal pathology†

Endocrinology*

Pathology, human and animal*

EntomologyEnvironmental toxicologyEpidemiologyEvolutionary biologyGenetics and genomics, human and animalImmunologyMicrobiologyMolecular biologyMolecular medicineNeurosciences, neurobiologyNutrition sciencesPharmacology, human and animalPhysiology, human and animalPlant geneticsStructural biologyToxicology

Wildlife biology, zoology†

Wildlife biology

Zoology*

Biological and biomedical sciences, generalBiotechnology, biology / biomedical sciences-other†

Biotechnology*

Biological and biomedical sciences, otherHealth sciences

Environmental healthHealth and behaviorHealth services / systems administration†

Health systems administration*

Health services researchKinesiology, exercise scienceMedical physics, radiological scienceNursing sciencePharmaceutical sciencesPublic health


Table A-5


(Field)

Aggregated field name and constituent fieldsRehabilitation, therapeutic servicesSpeech-language pathology and audiology

Health sciences, aggregated†

Gerontology (health sciences)*

Oral biology, oral pathology*

Veterinary sciencesHealth sciences, generalHealth sciences, other

Physical sciences and earth sciencesChemistry

Analytical chemistryChemical biologyInorganic chemistryMedicinal chemistryOrganic chemistryPhysical chemistryPolymer chemistryTheoretical chemistryChemistry, generalChemistry, other

Geosciences, atmospheric, and ocean sciencesAtmospheric science and meteorology

Atmospheric physics, meteorology†

Atmospheric physics and dynamics*

Meteorology*

Atmospheric chemistry, atmospheric sciences-general, atmospheric sciences-other†

Atmospheric chemistry and climatologyAtmospheric science and meteorology, general

Atmospheric science and meteorology, other*

Geological sciences

Geochemistry, mineralogy†

Geochemistry

Mineralogy and petrology*

Geology

Geomorphology, geological sciences-general, geological sciences-other†

Geomorphology, glacial geology*

Geological sciences, generalGeological sciences, other

Geophysics and seismology

Paleontology, stratigraphy†

Paleontology*

Stratigraphy and sedimentation*

Ocean and marine sciencesMarine biology and biological oceanographyOceanography, chemical and physicalOcean / marine sciences, aggregated†

Hydrology and water resources


Table A-5


(Field)

Aggregated field name and constituent fieldsMarine sciences

Ocean and marine sciences, other*

Physics and astronomyAstronomy and astrophysics

AstronomyAstrophysicsAstronomy and astrophysics, other

PhysicsAcoustics, optics / photonics†

Acoustics*

Optics, photonicsApplied physics

Atomic physics, polymer physics†

Atomic, molecular, chemical physics

Polymer physics*

Biophysics (physics)Condensed matter, low-temperature physicsElementary particle physicsNuclear physicsPlasma, high-temperature physicsPhysics, generalPhysics, other

Mathematics and computer sciencesComputer and information sciences

Computer scienceInformation science, systemsComputer and information sciences, generalComputer and information sciences, other

Mathematics and statisticsAlgebraAnalysis and functional analysis

Applied mathematics, computing theory†

Applied mathematics

Computing theory and practice*

Computational mathematicsGeometry, geometric analysisLogic, topology / foundations†

Logic*

Topology and foundationsNumber theoryOperations research, mathematics / statistics-general, mathematics / statistics-other†

Operations research (mathematics)*

Mathematics and statistics, generalMathematics and statistics, other

Statistics (mathematics)Psychology and social sciences

PsychologyBehavioral analysis


Table A-5


(Field)

Aggregated field name and constituent fieldsClinical psychologyCognitive neuroscienceCognitive psychology and psycholinguisticsCommunity psychologyCounselingDevelopmental and child psychologyEducational psychology (psychology)Experimental psychology

Family psychology, human development and family studies†

Family psychology*

Human development and family studiesHealth, medical psychologyIndustrial and organizational psychologyMarriage and family therapy, counselingNeuropsychology, physiological psychologySchool psychology (psychology)Social psychologyPsychology, general

Psychology, aggregated†

Personality psychology*

Psychometrics and quantitative psychologyPsychology, other

Social sciencesAnthropology

Anthropology, culturalAnthropology, generalAnthropology, physical and biological

Economics

Econometrics, economics†

Econometrics*

Other economicsNatural resources and environmental economics (social sciences)

Political science and governmentSociologyOther social sciences

American, U.S. studiesApplied linguisticsArchaeology (social sciences)Area, ethnic, and cultural studiesCriminal justice and correctionsCriminology

Demography, gerontology, statistics, urban affairs, social sciences-general, social sciences-other†

Demography and population studies*

Gerontology (social sciences)*

Statistics (social sciences)*

Urban studies, affairs*

Social sciences, generalSocial sciences, other


Table A-5


(Field)

Aggregated field name and constituent fieldsGender and women's studiesGeographyHealth policy analysisHistory, science and technology and societyInternational relations, international affairsLinguisticsPublic policy analysisUrban, city, community and regional planning

EngineeringAerospace, aeronautical, and astronautical engineeringBioengineering and biomedical engineeringChemical engineeringCivil engineeringElectrical, electronics, and communications engineeringIndustrial and manufacturing engineeringMaterials science engineeringMechanical engineeringOther engineering

Computer engineeringEnvironmental, environmental health engineeringNuclear engineeringRoboticsStructural engineeringSystems engineering

Other engineering, aggregated†

Agricultural engineering*

Communications engineering*

Engineering management, administration*

Engineering mechanics*

Engineering physics*

Engineering science*

Geotechnical and geoenvironmental engineering

Metallurgical engineering*

Ocean engineering*

Operations research (engineering)

Petroleum engineering*

Polymer, plastics engineeringTransportation and highway engineeringEngineering, generalEngineering, other

EducationEducation administration

Educational administration and supervisionEducational and human resource studies, developmentEducational leadershipUrban education and leadership

Education researchCounseling education, counseling and guidance


Table A-5


(Field)

Aggregated field name and constituent fieldsCurriculum and instructionEducational assessment, testing, measurementEducational policy analysisEducational psychology (education)Educational statistics, research methodsEducational / instructional technology, media design†

Educational and instructional media design*

Educational and instructional technologyHigher education evaluation and researchInternational educationLearning sciencesSchool psychology (education)Social and philosophical foundations of educationSpecial education

Teacher education†

Adult and continuing teacher education

Elementary teacher education*

Pre-elementary, early childhood teacher education

Secondary teacher education*

Teaching fieldsHealth educationLiteracy and reading educationMathematics educationMusic educationScience educationTeaching fields, aggregated†

Agricultural educationArt education

Bilingual and multilingual education*

English as a second or foreign language*

English education

Family, consumer, and human sciences*

Foreign languages education*

Nursing education

Physical education and coaching*

Social science education*

Teacher education and professional development, otherOther education

Workforce education and developmentEducation, generalEducation, other

Humanities and artsForeign languages and literature

FrenchGermanic language and literatureSpanish language and literature

Other languages, aggregated†

Arabic language and literature*


Table A-5


(Field)

Aggregated field name and constituent fields

Chinese language and literature*

Italian*

Japanese language and literature*

Latin American languages and literature

Russian language and literature*

Foreign languages and literatures, otherHistory

American history, United States and CanadaAsian historyEuropean historyLatin American historyMiddle, Near East historyHistory, general

History, aggregated†

African history*

History, otherLetters

American literature, United States and CanadaClassicsComparative literatureEnglish languageEnglish literature, British and CommonwealthRhetoric and compositionSpeech and rhetorical studiesLetters, aggregated†

Creative writing

Letters, general*

Letters, other*

Other humanities and artsAfrican American studies, literature, and historyArt history, criticism, and conservation

Dance, drama†

Dance*

Drama, theater artsFilm, cinema, video studiesMusicMusicology and ethnomusicologyMusic performanceMusic theory and composition

Philosophy, ethics†

EthicsPhilosophy

Religion / religious studies, Jewish / Judaic studies†

Jewish, Judaic studies*

Religion, religious studiesTheology, religious education

Other humanities, aggregated†


Table A-5


(Field)

Aggregated field name and constituent fields

Archaeology (humanities)*

Bible, biblical studies

Music, other*

Humanities, generalHumanities, other

Othera

Business management and administrationAccountingBusiness administration and managementFinance

Human resources, organizational behavior†

Human resources development*

Organizational behaviorManagement information systems, business statisticsMarketing management and research

Other aggregated business fields†

Business, managerial economics*

Hospitality, food service, and tourism management*

International business, trade, commerce*

Operations research (business)*

Business management and administration, generalBusiness management and administration, other

CommunicationCommunication researchMass communication, media studiesCommunication, general

Communication, aggregated†

Communication theory*

Film, radio, TV and digital communication*

Communication, otherNon-S&E fields nec

Architecture and environmental designFamily, consumer sciences and human sciencesParks, sports, recreation, leisure and fitnessPublic administrationSocial work

Fields nec, aggregated†

Law*

Library science*

Other fields nec*

Unknown field

† = aggregated field in 2019.

* = fine field with fewer than 25 U.S. citizen or permanent resident doctorate recipients in 2019.

nec = not elsewhere classified; S&E = science and engineering.

a Includes other non-S&E fields not shown separately.


Note(s):Aggregated fields appear in tables 16 and 22 only.



Table A-6

Aggregations used to determine major fields of study: 2019

(Field code)

Field of study Survey of Earned Doctorates field codeLife sciences 000–299 (excluding 152, 217), 577, 685

Agricultural sciences and natural resources 000–099, 685Biological and biomedical sciences 100–199 (excluding 152)Health sciences 200–299 (excluding 217), 577

Physical sciences and earth sciences 500–599 (excluding 577), 152Chemistry 520–539Geosciences, atmospheric sciences, and ocean sciences 510–519, 540–559, 580–599, 152Physics and astronomy 500–509, 560–579 (excluding 577)

Mathematics and computer sciences 400-499 (excluding 415)Computer and information sciences 400–419 (excluding 415)Mathematics and statistics 420–499

Psychology and social sciences 600–699, (excluding 685), 217, 770Psychology 600–649Anthropology 650, 655, 656Economics 665, 667, 668Political science and government 678Sociology 686Other social sciences All fields 600–699 (excluding 685) not listed above, 217, 710, 770

Engineering 300–399, 415Aerospace, aeronautical, and astronautical engineering 300Bioengineering and biomedical engineering 306Chemical engineering 312Civil engineering 315Electrical, electronics, and communications engineering 324Industrial and manufacturing engineering 339Materials science engineering 342Mechanical engineering 345Other engineering All fields 300–399 not listed above, 415

Education 800–899Education administration 804–807Education research 800, 801, 808–845Teacher education 850–858Teaching fields 860–889Other education All fields 800–899 not listed above

Humanities and arts 700–799 (excluding 770), 984Foreign languages and literature 740–769History 700–719 (excluding 710)Letters 720–739 (excluding 731)Other humanities and arts All fields 700–799 (excluding 770) not listed above, 984

Othera 900–999 (excluding 984)Business management and administration 900–939Communication 940–959Non-S&E fields nec 960–989 (excluding 984)Unknown field 999

nec = not elsewhere classified; S&E = science and engineering.

a Includes other non-science and engineering fields not shown separately.

Note(s):Major fields appear in tables 7, 8, 12, 15, 18, 24, 48, 49, 51, 52, and 56–71.

technical notes, nsf 21-308

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